{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "4c2ae22f-75d3-47fc-8037-5226dcc15820",
   "metadata": {
    "tags": []
   },
   "source": [
    "## 作业要求\n",
    "\n",
    "1. 将下面的数据绘制成饼图。\n",
    "2. 设置阴影效果\n",
    "3. 将Chrome对应分块从饼图中分离出来，距离设为0.05。\n",
    "4. 设置显示分块占比信息，保留两位小数。\n",
    "5. 占比信息以白色文字显示，分块名以黑色文字显示。\n",
    "6. 将Edge和Safari的占比的字体大小设置为10，其余为12."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "ac74b60b-4eb3-4650-938b-d8a70b380be4",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 导入包\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib import font_manager"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "d10e3bf1-7fac-441f-9bc3-7861715a267b",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# 创建字体管理对象，指向具体的字体文件\n",
    "font = font_manager.FontProperties(\n",
    "    fname=\"/System/Library/Fonts/STHeiti Light.ttc\", size=14, weight=4\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "2e75c0d7-1644-404b-a1d6-75f69964aa4c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 实验数据\n",
    "data = {\n",
    "    \"Chrome\": 0.6098,\n",
    "    \"Internet Explorer\": 0.1218,\n",
    "    \"FireFox\": 0.1147,\n",
    "    \"Edge\": 0.0415,\n",
    "    \"Safari\": 0.0372,\n",
    "    \"其他浏览器\": 0.075\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "56b48c6c-aa63-43ff-85c8-dd4c19293624",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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0YdrwSBti2I3xyPYTX/Iohyu+/TXxYy54zOmLbx1pewwHjExgTPrEcSsjbYjBeGT7hS95lDhjEy+NP/S8R4yItTgSgOlJE6aZWGgjwAhZHfEljxLx+M6JP/Tcic7YhIRI22OICD2BqUkTppn94yKMEbK6InJS/KHnPumKb98h0qYYIsohwAdJE6aZ3XwjiBGyOuBLHjW61ciznva069Ej0rYYGgWnAf+MtBEtGSNktcSXPKpf7KATno/q2r9vpG0xNCpuMGszI4cRslrgSx7Vw9u132PRvUeOiLQtpZw8oCMikbbCYPN40oRp50XaiJaISb+oIb7kUfGO6FYTE4695iKH19cocsXOGd6VsSntufG/i/A4HTx85gAGdokHYPKSzbzyw9q9rnE7hXvH9WNAl3icDuGb37Yx6Yc1APTtFMc9p/TF43KgCs99t4qf12ZyysCOXHfUQfg8LpISfSzemE1xIEz7Vl5+WLWTR6b9fkCfu5FTDByTPnHc3Egb0pIwQlYDfMmjHMAtbY6+4hZ3YreekbYHoHuCjzevOISzJ80l2x/g+qMOIj7azcSv/8DpEF65eBjvpW5g1so9K5/dfExvQmHl5VlrcAg8de5gpv+2jf+t2M6Umw7juv8sZEtOEXFeFx9dN5px//yRD64ZzVXvzCe3MMjz5w/h5ZlrKAyEePzsQVz6RiqBkPkbqsB6YKBZl3ngMEPLmjE2pt/R5zUWEXM6hOfPH8KDX64g2x8AYNygTrw401o1EworT32zivMP6b7XtYO7tWbK0i0AhBWmLdvKkG6tASgoDtGlTTQA7eK8RLudiAhPfbuSSRcN55PrRpO+y8/ajHweOXMAEz771YhY5fTA2v7HcIBwRdqAxo4veVR3d2K3G3wphzWauNhNY3uT3CGO6446iHNHdOWhqStwOYX84mBZm9U78+nSOnqvaxemZ3H5mCQe/ep3vC4nF47szicLrV2dH562gg+vHc3mrEJ6JPq45p0FhMLKL+syuei11LI+7jwhhY8XbGL9Ln/DP2zT5f+SJkz7In3iuKmRNqQlYISsCnzJo6LF5bm51cizjhSH0x1pewBiPE7OHdGV01/8iTU7Czi8d1v+ef5Qahoh+PePa7n9+D58eO1oEmM85BcH+Xr5NhJjPDx+9iDOfGkOaTvy6RwfxcSzB/HHtjx25BWXXT+yZwKJsR6y15Xw1hWHUBQI89j0342oVc6/kyZM658+cVxmpA1p7pih5T7wJY8S4LxWI844xemLbxtpe0rp2S6G1LWZrNlplWH8aXUGPo+LsCpR7t3/nQe1i2FzduFe1wfDyhPfrOSKN+cTVrjz46WoWgI1448dpO2wim9vySli5sodHNd3d75vqygXN43tzeNf/8HNxyZz7X8W8shXK/j7qf0a+KmbLB2x6mYaGhgjZPtmeFTPYZd6uxzcqD6l63YW0LdTHIkxViW5vp3iCIbDTPt1K1cd0QsAh8Ctx/bhg/kbAGumMtq9Z+L5/eP78e7P61m13RKuFVtzObRXIj6P1c7ncXJS/44s35JTds19p/Xnsem/UxIMEw4rxcEw+UVBolwmqb0K/pQ0YdqfIm1Ec8fMWlaCL3lUO/HGTEw88abzHW5vo1tHN6pnAn85MYWwQn5xkAe+XM6W7MKytAqfx7lH+sWNY3vTLSGaCZ8uA+DE/h24YGR3Ln9z/h79Ht+vA9cc2QtVS/zembeezxdvBuDc4V2Jcjv5z8/rAbhwZHfOG9GVkMJDU1ewZGP2gXsDmh6ZwID0ieO2RtqQ5ooRsgr4kkc5gbtajTzr3KhuA4ZG2p6GYPRBiazens/O/OLqG9ucO6IrHy8wpR73g2npE8edGmkjmitmaLk3I52t2g/3duk7MNKGNBTz1uyqlYgBRsT2n3FJE6ZdFGkjmitGyMrhSx4VDZwfN/SUfuJwmhldQ33zSNKEad5IG9EcMUK2J8d4Oib3dCd2MwvCDQ1BD+DmSBvRHDFCZuNLHtUGOCN20AmDxazCNjQc9yRNmNYm0kY0N4yQ7ea06IMOSXLFJe69rsdgqD/aAH+NtBHNDSNkgC95VFcczmNi+h7ZLGcpDY2Om5ImTOsYaSOaEy1eyEoz+GMHHHuQwxuTGGl7DC2CaMBswliPtHghA/ridA+N7jlsWKQNMbQorjMVmOqPFi1kdvLrhb4+o9uJy9PoMvgNzRofcGekjWgutGghAw4GukT3GNyo1lMaWgw3JE2YZkoJ1gMtXciO97TvFe2MadMt0oYYWiQxwIWRNqI50GKFzJc8qh0w2Jcy5qBI22Jo0VweaQOaAy1WyIBDxRPtcCd2HxRpQwwtmuFJE6YNiLQRTZ0WKWS+5FFu4MSYg4/oIE6XJ9L2GFo8l0fagKZOixQyYAAQ4+3ab0ikDTEYgIuSJkwzmxTsBy1VyE70dukb64xu1aH6pgZDg9MROCnSRjRlWpyQ+ZJHdQZSonsfmhxpWwyGclweaQOaMi1OyIDDcbrU3aaT2arH0Jg4zeSU1Z0WJWS+5FEeYGx0jyHRJshvaGR4MDlldaZFCRlwEOD1dE7pFWlDDIZKuCDSBjRVWpqQDQJC7tadTHzM0Bg5JGnCNLPmtw60GCGzt+s51N2upzi8PrNDp6Ex4gbGRNqIpkiLETKgMxAf1a1/l0gbYjBUwZGRNqAp0pKELAXA1aZzz0gbYjBUwVGRNqAp0pKEbBgi+a64xB6RNsRgqIKRpmRc7WkRQmavrezj7ZQSLU53VKTtMRiqIAoYFWkjmhotQsiAboDT0ynZVEgyNAVMnKyWtBQh6wWIq1X7zpE2xGCoASZOVktaipANBfIcUXGmSpKhKTDa7IZRO5q9kNn5Y0lAvsPrM0JmaArEAIMjbURTotkLGVa1mmhnq/Zes77S0IQwaUK1oCUIWSIQdid0Md6YoSlh0oRqQUsRMnHFt28baUMMhlpghKwWtAQhaweIMybBeGSGpoQRslrQEoSsB1Do9LUyQmZoShghqwUtQci6A4UOb6wRMkNTwiRv14JmLWS+5FEOoCPiKBJvtNm6x9CUaJM0YVpcpI1oKjRrIQPiAacrvoNPxNHcn9XQ/DDDyxrS3D/ciUBY3F53pA0xGOqAEbIa0tyFLAYQcbqdkTbEYKgDJk5WQ5q7kLkAxOU269YMTRETI6shLUPInEbIDE0SExKpIc39A+4EHOJ0N3fBNjRPjJDVkOb+AXcBgtPV3AXb0DwxQlZDmvsH3AWoGVo2HKoKoJG2oxmiImImqWpIc/+AewAVh8v8QTQAoaK8HbnzPn4/kLkpO9K2NDO6Ao/701LTIm1IU6G5C5kXCIvT2dyf84ATyNy0IXvOB7O0xB8LxEbanmaGEwhH2oimRHP/gHuAMA6n8cjqkcL1S3/LWzDlcdDZmGFlQxAGtkTaiKZEixAyDRQVRdqQ5oCGQ8GC5TPn+lfNvQ/4wZ+WakTM0Cho7kImACF/bn6kDWnqhEsKC3IXTJ5esnXV3/1pqX+UP1f0QOu7ntpw9ODofMdBUNI7UjY2Yzrc8eHUUKSNaMw0dyHLBtwhf05BpA1pygTzMzNy5n30fih3xyP+tNTtpcevHeNNuby/75uEzo42U4ekOa//fNiGze0HZEpgUbzHRftI2tyMUCNi1dPc88iyAQnl7zIeWR0p2bFuXdaM1yaGcnf8tbyIvXhK1Ni/HeqZN7pLuMeSQk9MQStHzMw+89sPXp2a6G11dWxBeOC2okA4N5K2NxMCkTagKdDchSwf0LA/p0jDYfOtVgtUFf+a+Yuzf/zPXzRQ9Jw/LbUAYHyKW949K/rmywZ7pnZv5WgDsA5nEGDhaHfiem+6Y+TCx8KxvmHuVm1vi/PrgI3FwXBOJJ+liWOErAa0CCED0GCJGV7WEA0FA/lLpn+fv2T6jcBn/rTUEMD4FLf32uHuSX/q7342ziu+0vYboh15pb+/drGrVTCQ7T1y/sOtS3LXb09IOKFbbOJtcQXhvhtKgsZDqwNGyGpAcxeyMvHSYLEZXtaAcHFBXvbcDz4uXLvgWn9a6rzSmcnzB7hb/+0Izzfj+rivdTv3zDjfGuMue58DPofjhXGuouhQieOExc90LNr0Y7bT4XIkJp7cPSbx1tiCcMr6kmA4r+J9DfvEvFc1oLkLWT72M2qgyAhZNQRzd2zLmvXmpMCOtbf401LXlB5/4Ghv34fGeheM6uo6qrLrdnn2XMu6aqDETevqyHYJnLL6g9as/NAf1rA6HW5HYuK4HjEJN/sKQgetD4TC5v+kejZE2oCmQHMXsgKsFAwJlxSZoWUVFG9dlZY14/WHQvmZ9/nTUneVHn/l1OhTbzjEMyc50XnQvq7N9zijKh777/m03uiUQoBjts72tf31X3mBYFEYwOn0OhPbnt7D1+bmqPxQ0vpAKOxviGdqJhghqwHNWsj8aalhLNfcHS7xm2//SlANa8HKOfNz5n5wu4YCr/jTUosAxqe4HR+e4/vrpYPdn7SLcVRZuKXE69hriVLI45DnzoKAWjHKIVnLWvVf/GxOUVFOcWkbp9Pratv2rB7RbW505we7rw+GwoX1/XzNACNkNaC555GBlYIRHS7Izoy0IY0NDZYU5y2Z/n3R+qV/96elLio9Pj7FHX3zSM+/j+npvMDpkCq/7LLClIjL4a3s3MbezuhPk0t2nb/akQjQtWBTm7iFj/nnDLl9V1RM+7LyfC5ntLttu3N6BIMFJdlZU9OjHBs7uhyOvby8mhLbJpFTb7ur7LU4nLTt3oM3br2Gguys3Q1FuOalN8ndaWWV5GdnMfXZiThdLo676kba97Jye//4aRbzp3xKTJsETrr+NqLjWpHQuSt5u3biz80hWFJC646d+c/dt1BSWO/O5fr67rA50hKELBPoWbJrwzYfoyNtS6MhVJiXnZv6yWeBXRsf8Kelln3rXz3M0/6Bo71fDu3kHFmTflaKqwBrKVilfHa2K3HkM4HMXgFnAkB8IM937IJHPTMH3rTJk9C7a/m2LleMp227PyUFgnnFOVlfro92bOnodFQuklWRn7WLD+67u+z1wGNPJC6h7Z4iBrTrnsSG35by9cvP7nF8+Lgz8Ofm8J+7bkYcDsbffg89h4ygdcdOrEqdw7Lvv6HH4GEkDRrKD/95ndPv/BvT/vlEQ4gYGI+sRjTroaXNeiCmZPuaHSaXzCKQtWVz1szXnw/s2nhHeRF7/LioYX870rugpiIGsMrhqnodq8PB0xe73MWqJaWHvBpwnbD02a6OzXPTK7vE7Yrztm13YQ9P/NWaF2ifHgqHSyprVxNcHi9DThjH/C8/2+tc17796di7D+fd9xjHX30Tnmgro6TP6MNJ/fxDADQcZs6H/2HgsSew/Ifv6ZLSj/MfeJzBx53MoulTGHrSaWxZ9QfbVq+qq4nVYYSsBrQEj2w9IISC4XBR/g6nr1WnSBsUSYo2Ll+Ru+CLpwiH3vOnpZaAleR6Wh/X+VcP97ySEC2tatPfGoe72jynnR2dce+NCG68cqGzW+kxh8DRae8lLSjYsiE7+ayujkrqjrpd8VHt2l+cVFKS5c/J/nKLz7mzi9Mhtdo1dfi401k241sCRXuH39Yums/S/00nHApx8JgjOeHam5n63OM4nC5KCne337V5I63atqek0L+H99a2Ww+6DxjE5KceqY1JtcUMLWtAS/DItpb+EirI2hZJQyKJhsOh/OWz5uT+8ulthENvlRMx12WD3Q9fMtj9dm1FDGCDy1WjfbO+PsHb7Q9fcFPF4yO2zOzeY+mkHcFQyT49O4+nja9d+0uTXHGXB/ICbdLDYQ3W5J5RsXEkjxzDr99Nr/R8zo7thEOWk/7H3Nm07tAJcThKd72tEqfbzdGXXsVPH77LyTfdwdn3PEi/I4+piVm1IeeOD6eaJOIa0BKEbCdWdr8jmLNtc6SNiQThQJE/95dPv/T/Mftaf1rq/0qTXMenuGPuGO355My+rr9GuWrn6ZSyze2q8d/Qk5e5Ews1vFcaTHL2io6DFjxeWFKcV+VSJq8n0deu/RVJztjLivNK4teHVasMFRx61p/4ZfInZWJVntYdOhHfvsMex5xu6y0IB4O4PLtDcwldupGbsWOPtkdeeAXzp3zK8FPGs+SbqXz22P30OfRw4hLbVWVSbTHDyhrS7IXMn5YaxPqDiC3ZtqbF/WGECrJ3Zc/+z9vFm3+/wZ+Wurz0+O2jvd0ePdY796gk1+kOEalr/1ke5z4D/RXJa+2MnjSW7MrOdSzc1ubw+Q95ivO3ba/sfHm83rYx7Tr8Xw9HzEX+vJK4DWHVvbzCVu3a06FXMqt+/mmP41ExVqaIr3VrTrz+trK6NAOPOYGMDeloOEzaL3MZfuoZAIg4GH3OBSz7/tuyPnoOGUGguIj1y5bgjoqmKD8f1TDB4iJcnhq/HTVhdX121pxp9kJmswJoVbJ99U4NBlpMrlJJxob1mTNffzqYvfUuf1pq2RD72ROjDrt9tOeXAe2dg/b3HoVeZ3Rt2v882tNlQUKw0i+U2GBB9HELHm0bzFhRoy+cKG/HuHYdru7u8F2Qn18Su0HLCdph513MnI/e3aN96w6duPyZSbi8Xras/J201Dlc8PBTnP/A43Q5uD/fvfYyAAu+/JyY+DZc8OCTXPz482xfk8a6JQsA8MW3ZtBxJ5b1Pfejdzn+6pu44OGn2LV5I1lb69Xp/6U+O2vOSE3iAU0dX/KoQcBtwIaE4669wBXfoU+ETWpQVJWi9CW/5i2aOhH0Y9srZXyKW87p57rq9BT3s/FRErO/9wmrMiipe0gctav24/WHAy89H/S3whG/rzY/9jwnvaT70Um1cRYLizZmF+RMy4txF3RNGjJc1i9dVP1FtaTHwCFkbt1MXsbOeu+7Esbe8eHUWQfiRg2BiMSpap6IOLWaMMD+0lI8srJv+ED2tmY9vNRQMJj/67cz8xZ9eRPoB+VEzH3VMPdz5w9wv1wfIgawAae/tiIGUOxzuJ8dJ0XhKr5Fj1j3SVLb39/bFA6HahTYB4iO6ta6bYfrumn02dnL56/YqA3wLb1+2ZIDImL2B39+TduLiFtEbqnk+N0i0rrCsa4ick2FY4+I7B0nFZHuYn+biMilInJIJW0+KX9tub4ni0gscKKI/H0fdjvL/S4i4hDZMwm7JmXxWoqQ5WAlxkaXbF21NtLGNBThYn9+zs8ffVq4OvU6f1rqj6VB/QsGuOMnHO6Zdlof1y0ep9Rbys1KXHVev7p8kLvDzK6hKlMLBu+Y17X3kn9mBYPFtco09UUntWnb4YZuGnVmVn6Jd1MTHXX8dseHU2v0/oqIS1UDwNmVnD5ZVbNF9vh//xMQEJFDReQU+9hYu4+KHA782xaXT4D7RMRj33eEiCQArgrXnmz/u1NV84GLgSNE5FMRmS4i80Sku93m/0RksYh8jRUTHAqcLSIrROQ7EVkBjK/uPWgJeWT401LVlzzqN+DQ4s2/bw0X+zMdXl9CpO2qT4J5GTty5n30Xigv4zF/WmqZy/CPo7y97z/aOy2lrbPeh9NpDldx9a32zWsXeLoPfiaQ0TbsbLuvNkm5q9vFzn80d/7Q2zO9UfG1+j/z+Xol+Hw3JhT4V+0qzPumKNYT6LI/9h5IRGRuLZq/IiL9gWQR+aLCuQEiMg+YAfzNFrRzgCOBC7HrWgAl9n0FaK+q2wFU9b+2R3QtkACkAjeLSDwQDzwNVPSaS/8uVERGYVWEutvub6PtvZUONYPAA6r6hYjcbx8vBp5R1ddE5CpqsCdbS/HIAJZiL6UpyVi/vJq2TYri7WvWZM18/bFQXsa95UXspVOij7/hEM+8hhAxgHUu137FPUJuh+Pxc52OUDXxk7bFGa2O+uXBmOLcTXUqkRbj65PYtsPNXYKeUzIKSlxNpcza9zVtqKpXqepo4DdVPaP8j31stKr+zW5+JbDZ9qACgENE+gEdROQV4EvgUQARiRKRC1T1P8AHwMfAm0AS8CtQROX1N0tzVxzACXZ/XmCSiFynqoFyEzNRWF7et8BlwMFAInC9iEwDbgCqTQ1qSUL2B5baO4vSF/8WaWPqA1VV/+rUhTk/vXenBopf8Kel+sHaueK9s6L/fNkQ9+SOsY59ejv7yybX/jv063u5EqakhDdW184XLvKesHBip/D2JXXOdI+NObhtYodbOgfcJ+woKHFurf6KyGB/yGfW4dIhIjKr/A8wpPSkiBwM3GT//ipwK3ApcBzgt89dh+1hqWoR0FNEXsDafOEkVd0ERAP/Y981TT+0PbvtwMOqmqmqq4GzgLYiMqxc20mqOlRVTwAOwhoezwauAnZgDXk/r+7BW8TQEsCfllroSx41Hxhasm319lBR/k5nVGy9Zi8eSDQUKMlb+s2sonWL7vWnpZYFhcenuL3Xj3C/fPxBrstd1excsb/s8LjqpfDx+2e6kw55JrCta8DZsap2TlE57vd/95hXcOp6f8+TyoLQtSUudkB7YgeQm7d0e9A/U32ecJX3jQBL7/hwal12a1kD3Fnh2Kvlft+OJRB3Af8AxgJRqvqWiJylqkF76Fk2VFTVR0XkAsAHpIvITUArVc2p4u3vAiyy7zfdbuewjz+hqosARKQH1oTADqy9A31Y3t4rQCHQCvhERNoAp6vqPnNbWpJHBjAPy5UlsDO9yXploaL8nOw5//2gaN2i68qL2GWDPYl/P9L7/cnJ7isbWsQA8jzOWu9MUSkOB49d7PQFVGsUcxu9YWqPjr+9uSUUDtZ5MTlAq7jBHRI63NaxxHnUNn+JVJuIe6AQkRoPKyvgAlpX+ClzVlQ1C3sGvzQGVgle9o55rQEGq+oULKEpTdTd199YCPirqp4EfAE8bXtcD7E7NoaqrgdGYonqEmAhMBw4F/gB+AZ4ETgPqHKpVksTspVYQU134dqFTVLIgjnbt2bNevOlwM71t/nTUteVHn/kmKiB/zjKu+CQLs7DDpQtxR5nvaRxAOzs6Gr17rBwjcWk/66FXfoufDovECjc7w0zW7Ua3jGhw587FDsO31IYYEf1VzQ4lS8OrQQROUNEFtrDyLbALVhDxJvt39uKyA92m1Or6MolIocBU7EEpTx3YAXsAdoBKSIShTXErOzLrLyuHAykVHZORM4A1mFNRIwEkrFmSY8BTsWKr70N/Bs4hSpoMUNLAH9aaokvedTPwKGBjPVbQ/7crU1pN4zizX+szJn/2bOEgm/501LLvJd/nRZ95rUj3G+09TlaHyhb/GENqVt8dV7bVAnTT/J2P2xl0aY+flfX6ltD14INia1+fbKgzcvvFsclxHlBmffZGrausZZsOpzC+FuHlLVv0zGGb1/7jYxN+Rx98cFExbjRsDLrvZWoKmfeeV3nqJibiYqRcMamdSGnA3fWti18M+n5enzKqgmrbnVYolRTvgSmqGpYRAYAl6rqXXa6xD+B+1V1kf1asISoMtoBi7FSJzJERFRVRaQvsFVV00Xkaqz41e/AY/bPrkr6cmOldwgwwO77RawNHOJKG9kzlbvsez4DnIYlxlHAS6r6iT2UXauqX1X1JrQoIbP5GWvqmZKd636L7jG40QuZhsNh/8o5vxSsmPkg8I29hTfjU9zOiwe5/3bJIPffot1Sr4v8qiNNXPn2FHy98vil7oQXJ4X80eLwVd8aEuPdMfrsPcEPQkdt7tCvf5dBR3ctE7JwSPnimcUAeKKcjL3kYDavyubwc5NZ+v1Gtq3JIb59NKPPPIhta3NY8r8NpC/bxYlX9Xd8/a/tjtHntMqf8da/SsRKOzhQvHPHh1NrtKMIWImzItJGRP6C5dHcZR8Pi8iDwD/sRNl7VHVLaQ6YTTHQx25f6jWtFpH7sAr3PA08DtwoIncCg1T1UgARKVTVLfbvFW16XEQ6AK9jCe0I+/gPdvsJwHuquhFrwsCvqhkikocd+qlAte9HSxtagjW+LwQ8hWvmL2/syZLhYElR7oIvvipYMfNaf1rq9HIi5rt1lOf9s/u67j/QIgawUlwNsmY1r43T9+pRZFXf0iKwaRPBRfNdl5zo6HLehOH6+9zKJyOHHN+dJd9Zk6NrFu9kmy12eRlFhMPKql+20e+wzpxx+1BWpm4jZVRHNixzxnp91yYUMmxTUUBrbNP+4BB5qzbtRaQ38C0wV1XPVdWycIOq7lDVm4CXgb/ah+PZLQxzgDPthNRZpUNQ4AjgdfuLajJWMnkYK3WjtO/FItJRLHtDti1xIvKiiMwB3gcmq+rzQFBEvhWRr0XkB+AQdg9VY7CSYmcBD2B5c16slIxZWDOrZV7cPt+Hxv5Bbgh8yaMuBI4GtiQcf/1FrlbtekfYpEoJ+XOzclI//jSYufkBf1pq2V5e14/wdLpuhGfq4I7OYVVd35A86ozd8H73hO7Vt6wbd79StGF4lqtW/bt79KDV0y8Xf/TiWrewe6PGqFg3R5yXzP/eWLHXNYee3ot1v2awfd3uWHJsGy+Dj+uGiOB0OZg/bR35WUWanTNjkzO4NM7r2nPJT30RCoeX3vXxV0Maou+qsIeAbiBU2zWRItLbTq0ofT0WK3et1uu47MRbxz5WGFRJS/TIwFrD5gbwr5o7O8K2VEogc9PGrJmvPxvM3HxHeRF76oSokX89wjs/kiIGsN5Zsw0V68rzl3o65hGucn8yAE+vXmDvIxZYvx7P74u8B238YGcwFCiLIQ4/sQeLvtl7ie2Q47uRsTl/DxEDGHZiD0IlYdJ+2c7Pk9cw/OQkHA6HJLQ5rltc4q3xfh2woThYvW21xSHyWn33WRPUoqQuC7vLi5j9emZdRMy+NlQXEYOWK2RrgG1AfNH6pRuD+ZmNajvhovW//pY16617w0V5E/1pqblg7VzxxunRl101zPNd93hHxJfabHW76jPOvxdFPofnuVOkqLqF375DRtD69NMBcMTF4ercmaQ1czoMWvC4v6QkPyemtRdvrJtdm/ec3Bx8bDf8uQFWL9hzkrL/kV344+etOFwOQqEw4ZDi9u5Ol3M4XJKQcEL32MTb4grCB28oCYbrZQdXVQ2IyPv10VdLpEUOLQF8yaNGADcC66N7jegVN/SUSyJtk4ZDwYLls+b5V825D5hVbidX1xVD3I+dkuy61VvHnVzrm8PbdNia09rb4BMlN7xVlH70VlfSPhs4nXR66EHcXbpAOMyOp5/G1aEj4nSwZcY8f/SLH8ivM3dGZ2/fve588LHdGHFKUpm4lRQG+WrSMuLbR3PQ0PYs+mY9sW28HHdFP0SEHz9aRcbGyrM8QqGSUHb2N5vcujLR49y7vmdNCYXD0+76+Kuq0iMMVdCShcwFTMSaks5LPOmWq5wxrSPm6YRLivy5CyZ/XbJ15b3+tNTfS4+PT3HH/WWM5/3DujtP2Z+dXOubIR06Z4V8rioL99YHrpJw6IVnA9mJYWdi9a33xtE7JTQ9+sQt7sSUbtW17TEgkY0rMgmHa/+ZCIWKQ1lZ0zd5Wd3W7XTUJb/uzDs+nPpFHa4z0HKHlqVbYH+KtUCVwrULIhYrC+ZnZmTPfvv1kq0rbygvYneO8SZNPM4774gernGNScQAgt76S4at8j4eh/OJs51S3cLyfRFevdJ54rJ/dnNu/CG9urbrf9tVJxEDcDq9zrZtz+gR3eYmb36oR3owFK7x1kNh1WxgWp1ubABasJDZLACygBj/qrmrQoW5B7zKUsnO9HVZM19/Ipiz/a/+tNSyzPbnToo66vbRntR+7Zz9D7RN1bFdpUicBy7lY11vV8LU5OoXllfFUWs+Smrzxwcbw5VVIqlHXM4oV9u2ZydFtbnRnR/slh4MhatNU1HVSXd8OLVOQW6DRYsdWpbiSx51JFZ+TLqv75H9Yvsdfe6BuK+qUrRu4ZK8xV89CnzmT0sNQdl21DecebD7iTiv1Cgp9EAzG/euG3t2qtNQr65IOKz/+rLnru4HD26b89nuYruuzp3p9uILZH8xmax33ik73v4vdxI9dCgaDFIwZy65U6fS+YnHCbfrFHK0TnRmbvXjcAo5OwqZ8c7vld2yXggGC0qysr7cEu3Y1MlVSdX0cFiLHA7peseHUyvLkDfUkJbukYG1UVweEO3/48ffw0X5GQ19Qw0FA/lLv/4+b/FXNwKflBMxzzXD3S9dMMD9fGMVMYBVUk118QYgLqq1tJv0VAJxsXt4VMEtW9g+ceJe7d3durH+wovYcOll7Hr1VeKOO45dr7/BxpNPcPoX/hL4+LEfsnZuyOPHjxqsQjgALleMp12785O88deSH+yYHgqH91gYXxIKvmVEbP9p8UJmr1n8AmiHqhauWzirIe8XLi7Iy577wceFa+Zf609LnVs6M3n+AHfre47wfHNqH/f1bmft98E/kKx1umq8j3594BAHd4+8m9dXveP4tYe7+nQHEaL696f7G2/QaeJjOOLiyJk6ldbnnUuPd96m8JMP3Wd2Xhy7ev6qXYGiBh1pluF2xXnbtrswyd3q6nBeoP36UDgcCKsGotzu+w+IAc2cFi9kNnOxdruMKljxw/Jg7s41DXGTYO7O7Vmz3nw1sGPtrf601LJ73HeUN+Whsd75h3Z1Hd0Q961vNtbDhoq14cYhN/Le7++xtWArS3uH2qRFh6quueZwsO6MM9lw5ZXkTJ5Cu1tuJrRrF5uuu571F11M0fLlxPXp5T6q09aEsed1zPfFH7gVXh53fHS79hf3cMVeESrWpOfv+HBqo9k+qCljhAxr00Usr6wjQO7CL6dqOFivwdfirWlpWTNeeyiUn/kPf1pq2fD15XHR424c6ZmbnOhslMukKmN7LaqL7y+HdzmcY7ofw50j7uTukXdzwcEX8PU9oxKLtIpZwVCIcF4eAP5583B32jPdLfHqq9HiIvKmfimue/4vdszRnryGqLhUFS53vLRJPPvJA3nP5owRst3MBDYCicHMTdlF65fNqI9OVcNasGruLzlz379DQ4FJtmgyPsXt+OAc392XD3F/0j7G0aQKoWR7XPWzoWIN+GnzT5w5+Uyu/OZKHv/lcd7/431+9C+J+teR+15Y3vmJx3F3s9LGfKNGEdiye5v+1uefT84XXyBuNxoIoIEAHYo2x3VY8c7mUD1/eVVFfmHmmze+ckxj2PusWdASt/GpFH9aasCXPOoN4D4gO2/x1FRPh54DnL66J8lqMFCct+SrGUXrl97rT0stqxY7PsUddeMhnn8f28t5YZU7uca2h7Nfh5i28PJo65jTDcc/CJ2HgsMNm+bDt/dCuJKw1aA/wVF3wcK3YO4Lu493GAAnPAwuD2gYZk2E9J+g3xlw+G3g9kHiQVbfwWKI7QCrv7PuAxR5HbWqLl7fHNPtGBwXOrosWjZ1w7DsvReWZ0yaRKeHHwIglJnJ1n/cB4AnKQlnXCxFy5YRzMig8+MTEYeDbY88yoCdv3eNL9yRsWLwTVFud3SdM/RrQjAUyI+PaX9XQ96jpdHi0y8q4ksedS7WRm8bPB2T28eP+dO1Io5ae66hwrzs3NRPPw/s2nC/Py21bMXy1cM87a8b4ZkyvLNzVI07u2HebiEbe48lLj8+bb/+GwQK4adnKr92yIXgS9xTyK6ZBR9eDDmbwNsKrvgKXj0SLp8G718ARdlw9mvw4zNW3+P/Ce+eBaEAAVUdmtRd5QBspV0dUfnhkpdeCBbF4WhVk/YxRx5Jwdy5ENz3XEWmJyEvdeifS7zRCQ2WXpJXmH3fhLfPerCh+m+JRPyPsREyFWv/pfiSbWk7iresnFPbDgJZWzdnzXrjhcCuDbeXF7GJx0UNuecI7/xaiVhFwkFILVdPYvln0HFA7foozoN4e8VObHvwxIAIzHgIznsHrvwGMtfCrjQ49Vn48lYIWaOutTjzG4OIARTFOjzPnyyFNY1vFcyeXaWIASSUZMaNnf9wXEn2+qonFOpIUYl/c1x0673zRQz7hRlaVsCutvQGVkHRvLwFk3/wJHbv54iKqdE3dNGm5b/nzv/iKcKhd/1pqSVgJbme1sd13jXDPf9KiJYaeQ/75Icn9nw97FJYWeMt3i2+vdfyvnI2Qpue8MFFEA7B+rnwTrmizsf8HZa8a4mazSpcfmqw0d2B4tch7g6zFxelH7WtioXltSQqXOw5fvGTnX84+PL1dBrRo776VVXNLcz8vzveOHW/iqYY9qZRfLM2Qn7HquLSWYMlofzfvp9S3Ze+hsOh/OWz5uSmfnob4dCb5UTMeelg94OXDHa/s98iVpFDbwCnF5Z9XPNrYtrC+BfgteOs4eqLI2D0jRBXoSJajzEQ0w78WXDRJ/CndyGhF6ud7ka3lObVCz3dMiVUr0mlTlE5ZuWbPWJWT1mvGq6Xvdcy87dPe+D9S7+pj74Me2I8skrwp6WqL3nUx8BQIKZo/ZIN3i5953k7JY+urH04UFyYt/DLb4s3r7jXn5ZaVp1pfIo75s+Het49Ksl5er0v+j7sVkg4CL68pXbX9TgMVn0DO/+wXudsgrRvoc/JsPBN61hUPBz5F/jkSrjgfXjndIjrBCdNZN2n14YSoxJ54sgnaBPVhrOmnFXW9am9TuXaQdfySdonvL387WpNcYiD24ffzlMLngLg2aOfJSFq9wTuwQkHc9fsu/A6vVw54EqiXdF0b9WdX3f+SkmohLa+tszZPIenFjzlfOIcJ498pCGn1G8y8ahN3/T4w79ty8b+VyQ6ne46z9YWBwrz8gqzLqtP2wy7MR7ZPvCnpeZhlaJqD0jOzx99F8zblV6xXaggOzN79jtvFW9ecUN5Ebt9tLfbI8d454zt6Tqj3kXsqLugdfe9RczptmYcq2LbMkg63IqLgfVv39Ng29LdbU6aCN/+HUIl1pAzWAzFueCOZrPLxa6iXfzft/+3V9dT107ltWU13+T0juF3MKbzmLLXf571Zy77+jIu+/oy7p93P79l/MYPm37gwr4Xcs3/ruH0yafzbfq3PPzzwzzw8wNkFmby3KLnAFjb25X4Ve/9W1i+Lw7OXNq5/8InC0pKCuq8iWJG7tbbnvzsxroU3TXUACNkVbMQq6hvV8KhcM7cDz4OlxSV/TGXZGzYkDnz9aeD2Vvv9qelliUrPX1C1JjbR3tSB3ZwDq53i469D466Gzr0hyu/tn7OfMU6N+ZWOPnxqq/PXGvNYF78KVwxHS6dDIvegc12dsiQi2DzQtj+G5QUwLJP4Krv4YIP4PsHyXDXT1r/ab1Oo3VU632ev3XYrTy/yCrD9sLiF3j66Kd55+R32JC3gXW56/jHof/g/nn3EyyXdvLuOe4eW1yhBsmU7+zfnDDml4dcxQU7a537lZG75ftHP77qjeraichEEZknIgtE5OKa9C0iR4vIShF5trZ2ich4u8JSk8ekX1SDL3lUNHAvVtXmnd6u/Tu3OuSMK4o2LFuRt/DLx0E/svc2Y3yKW87q67ryzIPdz8dHyQHZr6veGXoxLH53n6eHte+8KxDjSgT4bPxnewwtAU4/6HRaR7Wucmg5sO1Abh12K9d/dz0fnvrhXn0MbjeYS/tdyh0/3FHp9TcPvZk12Wv4at3epQ47bg7mPP22RrulYbYZKhFXcObAm7a5E5JrVHuzsDg/+4/Ni5Jf+/b+KjcjEJGBwIOqeqaI+LCK4j6iqlXG50TkH8BqVf1vTZ+hOWJiZNVgz2K+gFWqKqZ40/L8zNydn4dyd7wI/FhuO2r3lUPdT5yS7LrJ45Sm+75WIWIAAU+ddj8to110O+4+5G5unXkrgXDl8wa3DL2FB3+uPM1qeIfhJEQlsLB4IZOOnURRqIhnFj7DxjxrVLmtiyv+g8HF6y/51Vlvs43l8WjQdfzS57rOTr5gfbjr4VXeI6xh3Zy57urqRMxmM9BdRDrb9SIfAhCRLsBTQHesEVSq/e9sIAO4CigQkT6qen817RdghUsygeVYpRHbqupTtXsXGh9maFkD/Gmp24CXgE6AN5S7415/WursciLW6u7DPF+enuK6rUmLWDXkKAHcjsoKqNYIQbjrkLvwurw8edSTvHHiG3SJ7cITR+5OKRnbbSxrc9ayPnfvejBx7jiuGXQNzy16jmsHXcutM2/l6QVPc9cheybJfznO22N1dLBB8sAAHAJHr36/R/zKjzaEw+F9bp+xLWv9R89OvvWTmvSpqpnATcAXInIGgIhEY9WV/LeqHqaqo4Gvgcvsa2YBbwB/t0WsyvY2Y4AJqnpv7Z66cdNsP3T1jT8t9Vdf8qiJwA5/WmpZnOSeI7y9nzjeO/Xgts6UKi5vFqzCVYA1xK4VLocLt8NNYbCQv8z+yx7nPhv/GXfNtoTIIQ6uGngVt8yoPGxz98i7eXrB05SESghrmJJwCfmBfKKce2vr45e427zwaqgwShpuOdXwrT90X+3fsW3twGviXS7PHvfJyN2yctZvn18Ke0+K7AtVnScixwL/EpEhWAV056rqjHJtvhaRfeXbHF6D9otUdWWNjWoiGI+sFvjTUn8rL2IvnhJ13C2jPPNagohB3auLX9H/Cu4+5O5q253R+wx+2vwTu4r2Tgk7o/cZ/JbxG6uyVlEYLOSrdV/x3inv8cIxL/DPxf/cq31OotP32uE0+IaFvXN+7zhkwcTikuK87NJj+YXZWQtWzxg/Z8XUWie+qmoecCFwEpDE7qrgNaW69gekYvqBxgT768D4FLcDOGnSuKi3u7RytI20PQeKB5yxGz5pwOrig9sNLhOqipzR+wy+WP1Frfv828tFGwbn1K5ieV3Id/qKfhxye45EJ7T+ZdX/zn1/9jNf1uZ6EXkcWKqq/7WD/XOA04BPgLtV9Qe73fHAx8BVqvqJiNyPVdn7ExGJAmbtqz1WjOxFVT3VPnc5JkbWMhmf4nZhjRfOf2Nx4ItASFvMcpMNroatLr5059JKRQyok4gBPHOpp0M+9VNEtypiQ/6osQsfTVy14vP7aitiNo8C40RkLpYYTVTVTcCZwDUi8pN97nisgP1eqGpRbdo3J4xHVkvGp7hjgGeBfCD39BRX8hVD3Rc0tnJtDcEpsW03bGzna3Dvpr4Zsiiw7a9f07Eh/4tU4auQ9823g76rlqXPbVDBN+yN8chqyZSVgQIsIUsAvJNXBtO+Xh2s5artpkmWx3Xg9oSuR5YMc3f8qWNo72nQeuT7ouD8t4O+m4yIRQYjZHVgysrA71jT3l0A5ysLAvP/tybY7BcD+z3OiG6ouD9MusjTNUtCDbJEaFlh4eLPMredtCx9bo2L8hrqFyNkdedHrJydHoDzhV9Kfm7uYhby7l8ybCQJeh3OJ89yhsPVZMrXljXFxWvezso6bWZenllHGUGMkNWRKSsDCnyOVeq+2YvZRhW/OJp2su/qPq6203uF6m1h+criojX/ztx16rTcnAZLvjXUDCNk+8GUlYEw1tR2sxezP8TVLIZN/znH032rK7TfRT9+LSxc+UJGxnmTc3L+qA+7DPuHEbL9pKWIWZq4D3h18YYg7HLIxAuc3oDWPW1mvt+/7JXMXRd+n5e3qPrWhgOBEbJ6YF9iNj0tMD3cTPJb1rlcB6Yk9wFga1dX/EeDwlvrcu2PBfkL3szKvGCmEbFGhRGyeqIyMZu0IPDLG4sD/y0JaXFkrdt/Nh3g6uINzeRTvT3WRFVTsbwcIdXQ5JycGe9nZ184My9veUPaZqg9RsjqkXJiNgVLzLxTVgZXPzy7+LWcIm3Ss1o73K563UK6MfDEJa7WRRqudv1ocThc/E5W1uRv8vP+b2ZeXtqBsM1QO4yQ1TO2mH0K/AvoCLRasi2ccce3Rf/elBteW/XVjZccj7NJJsNWRVZbZ8zrY6peWJ4bCuVN2rXrnfmF/utn5uWlV9VWRArspUGlP5OraDtCRN6qm+WGipglSg3I+BR3MnAr4AS2ux047j3Se+LQTs6RETat1gzs0rWA/dxUsbFy70tFGwbl7r2wfGNJyZY3szJf3xYMPjkzLy+vun5E5DdVrVGRUREZAdykqpfX3mJDRYxH1oBMWRlIA+4HdgLdAmH0vlnF06esDHwZCmuTCZ4XhjWk7ia6dXcNeOZSd4cCwmVCFVINzcjPWzBx5477twWDD9dExKpCRBwicoe9H/88EZkK9KnQZqyIzBCROSLyo4icKSKry50fIyLTRGSmff4+kaad11efGI/sADA+xR0NXAEcCmwAgsM7OdrdcIjnzHYxjk6Rta56lqkz98JeXeq3JmcjY9iCwNa7v6VTXjic/U5W1o8rioteBabPzMur8UoAESkA5pc7tE1Vz7f31U8A7lTVoIh0xAo/pKnq5SIyBngCOEdVt4lVb+BZ4CJVbS0ifYEHgUtVtdC+17VAkqr+tT6ev6ljhOwAYe9hdhpwFtae6TluB45bD/Ucflg351FOhzRa7/hTvNvu79mhY/UtmzbjX8ld8uuK7B/zw+F/zszLW139FXuyr6GliCwDBpcvJGLvBHuJLWT/Af6pqvPLnXcDm1W1vYg8CpwCZFfoOqSqx9bWzuaIcU0PEPYkwOTxKe6VwNVA90CYTU/NLZn9U1fnqutGuM9IiHZ0iLCZlbLa4Wp01cXrlbxQIObLrB/n/pb/MfDuzLy8/Aa4S8U9hMp/cbmAirOnYaC8l/GAqn5e1pm1J1GzHe7XlkbrBTRXpqwM/AH8HfgBK0Wj1c+bQtuu+bLoX3M3BmfX96Lm+iDd5W4y8bzaUrihcFXhy5t/lF/yJwKvNpCIfQI8a3tZiEhnrKpcpbwJPCkire3zLqyNFktnit8D7hKRDuXOPwnc2AC2NknM0DKCjE9x9weuAWKxyoGFD+/u7HzFEPe4djGOzpG1bjenxySuX9s+pkHKq0WKYE5wa+bszCWFawp/AN7MXZy73+sv7RjZ4nKHtqrquSLixKpTeRaWl7UD+C9wcumspYicDdxeah4wCfibqg60zx8O3Ad4AR9WvuITaj7AgBGyiDM+xR0L/Ak4Cmt2M0+ASwa7B53c23VsjEciHmQ/vE2HLTmtvY1GWPeHcFE4N2dhzsLc+blrsMRkdu7i3Ih6nHZV8UOA21Wt2WwRuQA4RFVvr/JiA2CErFEwPsUtwECsmc3WwFagJNaD67oRnjGHdnWO8TjFGyn7hnbonBn0uRIidf/6QEMaKPijYFHmD5lpWqKzgC9yF+c2eJWlmiIiN2F5bCVYsa95wD/sffgN1WCErBExPsXtBcZi/UE7sAQt1CFGoq8e7j5sWCfnKFcE9gQb0K1bibikSWb2a1hDRZuKfs+ckfl7MDu4FPhv7uLcdZG2y1C/GCFrhIxPcbfBStUYi/UNvR0I94iX2EsHe8YM6uAY6nVJnSt+14adSvExvbpHzBusK+FguKgovWhJ1pys9cGs4GasgPmS3MW5jW4yxbD/GCFrxIxPcXcETsdKpC3GChKH4zy4LxjoHjSmm2tkQrS0b0gbflJX5vW9OjeZYWWoKJTjX+VfmD03e0u4KFyAtYvvrNzFuU1+BxLDvqlSyEQkiXIFPavsqFyh0HqzroZUkYh4P1YgvXws5ElV3edi3mrucz8ReMbxKe7uWB7acHbPehUDnNTblXRSb9eopNaS0hAl6d6Q6C3PJrVr9IH+YG5wS95veUtzF+TuIEwW1g4kqbmLc5vFzraGqmkJCbF/j4S41idTVgY2AC+NT3G3BQ4HTgCigeyvVwfTv14dTE9OcMSf2981YkB758BYj8TX173XOhtvMmyoMJRZtKnot7wleZuLNxeXAOuxCsL8mrs4Nxhh8wwHkBoLme2N7ASOwErkdAN/VtUfReQe4EqgQET6qOqjItIPeBhrFs6JlV9zr6rm29uX5ADDgIuxKiE/AfwZiLfPXaaqW+x7nwrcjJVD4wQ+VNUX7XM/AT3tf29W1fJ5PPt6lnuAKFX9h52cOBU4DrgFy3s7zH5GgJnAgxVnj0QkHitpcbB9aD3WWrqtdin6Y4DuWEtPPqvmGX4DvgZ6A2fpPpJip6wMZABfjE9xTweGAKfadpakZYa3P/pjyffA94d1c3Y6soezb992zr6to6Rtde9HVWxsZBsqhovDecVbipfnL89f41/tL92u+lfgKyAtd3GuiZW0QGr7V3ojcIqqpotILyz3fYAtXB7sYZeItMfKPL5E1dpQUEROAV7BEi6ABFU9wj4HlhCOV9VCO4fmIeD/RGQs1gd2nL3g1gk8ICLXquqrqnq4PbQ8fB82P2BPbZcy0f6ZLiLHA3dhCWCmbcf1th2r7WUgtwMvAf9Xod8PgXdU9Ub7GY4BvhCRo+zzY4B+qlpS3TNgTbf/rqp31uQ/YcrKQDGQOj7F/QtwEHAsMBJrprNwzsbQzjkbQ1uBGYM7OBKP6enq27+94+B2PulS29HnNrcr4qs/QgWhnSU7S9YWrCpYW/B7QSGKYA2vZwBLcxfnbo+wiYYIU1she0VV0wFUda29kVyMqhZUaHcG1gfsswofnESRssXR/61wzYOlK/uBL9id5Xw10Av4rlxfTmAd8GoNbL6vsqGliFwGLAEmqeqccqeeUNXV9jMq8LSILBCR6HLXJgMlqlr2DKo6Q0R+xhr6AXyquwtc1OQZ3q/Bs+yBXZJuNbB6fIr7XSAFS9CGYf3fBpduD2cs3V7yE/BTz9YSN7qbq3tygqNrl1bSpa1POlWXzpEdgQ0VQ/5QRiAzsLF4a3F6we8FWwKZgVIvNhuYBSwCNhvvy1BKbYVsW4XXhVixmopCBvCqqj5b/oCItFLVsP1hztpX37ZXVr6q9fXlh4wi4mXPBbV1IQVLBA4RESm31KOyfiu6MQJUFjvScm0rPl9Vz1CsqvsVlJ6yMlCA9QFfZOej9QZGAKOAKEDXZWv+uuzASmA5gMeJ45DOzg4DOzi69mzt6NIpztG1lZeE8pMGhQ1YXVyDWhIqDGWE8kMZwZxgRklGyQ5/mn97MCfosW0Ga1JjNrAASDfpE4bKqK2Q1fSPaArwlYhMUdU19hDtZqAv1tANrPVkNen7DeBRETlPVfNsgXsDy2v7sFbW24hIW6yh78lYax3/ihXvAmtx7k/l7P4L8KstrqVdpAGtRGS8qk6x+zwcK7b2V6yZ0vLPV90z1Gtg2h56LgeWj09xvwf0xPKQB2AJnBuQkhDBORtDeXM2hhZg76PlceLoleBI3OVzjx/Z0bG0MFgUR4wz3hnljHN4HbHikigEJw6cIuKy/91D6DWkAQ1qoQa1KBwIF2lAC8OBcJEWa2EwN5hZklGSUby1OCOQESjGWjfoY/ffogMrnroUWAvsMp6XoTrqM5K7AnhQRHao6mwRuRR4TkRaYcWAZmBt+1wrVPU7EYkBvrRjS16s4WB5EVsrIt+o6omVdPGQiNxW7vUjWGI6QVV3icjjwNciMts+/xLwD3v46MIaytxQwSYVkfOAiSLyFywvbBNWoL6wwue6ps/QIExZGQhiCW8a8LW9L1p7oAuWqPUDumJ7kyUhHEsy1LvCo9kf72QFyzJKqE5oHYjD7XCKW5zhonBAg2WTFU6s99CN5WGV9+4SgHxgI9ZESRrWppNGuAy1xiTEliOSuXCRxB6KtseaYW5TDD1WeD2Dc5zOIqANlsdUcX+sfSHlfoqxwg4FWKGDdPvfDCDD5HgZ6gsjZOVoqUJWHa2GtvJgeVOlHpaz3E/p6zBQhBU3LQKK6nNXiUq2yLkDK/UlW1U/qmVfl2NtiVNa13KXqp5eH3YaIoMRMkOTYF+rN+rY1+VAW1V9qj76M0SeiOcIGQx1RUTuF5FzRORoEflcRL4RkdK8vlpXHRKr2tFtIjJXrLqU34rIIfa5PiLyix3rRET+KyLnNvxTGmpC40rbNhj2TU8RmVXu9V0Vzo8FDrIncPpirRI5p0LVoYewZpUBrrdXWwBkqupZwD1YscKjVDUg1lrjj0XkYlVdKSIvAC/ZE0M5qvpxAzynoQ4YITM0Fdap6tHlD9irRUr5RlVLNwe4BEjGWr1R/pLyMbtJlQwtz8eqdhQCsFewPGr3d6+q/kdETsKafR+1vw9kqD+MkBmaCxUTkOtSdSjM3vmMZUnOdv5fd6y0kR7Ayv0x2FB/mBiZoblQPtetrlWHPgMesXP9EJFuWMPN9+zzzwEvA5cDb4gcmM0tDdVjPDJDs0NVl9uJyu/aS8HKqg5Vc+lDWGkds0UkjJUHd5uqrrAD+x5VfR9ARP6NJWzXNdBjGGqBSb8wGAxNHjO0NBgMTR4jZAaDocljhMxgMDR5jJAZDIYmjxEyg8HQ5DFCZjAYmjxGyAwGQ5PHCJnBYGjyGCEzGAxNHiNkBoOhyWOEzGAwNHmMkBkMhiaPETKDwdDkMUJmMBiaPEbIDAZDk8cImcFgaPIYITMYDE0eI2QGg6HJ8//t511o+XRwxwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "patches, texts, autotexts = plt.pie(\n",
    "    data.values(),\n",
    "    labels=data.keys(),\n",
    "    explode=(0.05,0,0,0,0,0),\n",
    "    autopct=\"%.2f%%\",\n",
    "    textprops={\"fontproperties\":font,\"color\":\"k\", \"size\":12},\n",
    "    shadow=True\n",
    ")\n",
    "plt.title(\"浏览器市场份额\", fontproperties=font)\n",
    "for autotext in autotexts:\n",
    "    autotext.set_color(\"w\")\n",
    "autotexts[3].set_size(10)\n",
    "autotexts[4].set_size(10)\n",
    "\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
